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Field
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Research Infrastructure? No Offer Description PhD Student in Applied ML and NLP As part of the SNSF-funded project “Responsible AI for the Swiss Judiciary”, we work on real-world applications of artificial
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. You will develop dynamic models and apply them, for example, to analyze sociotechnological networks and to model interactions between humans and AI agents (such as LLM-based chatbots and autonomous
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of the cytotoxic drug to kill tumour cells will be included to simulate the response of the tumour to ADC treatment. Stochastic or agent-based approaches will be used to describe the heterogeneity of antigen
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goals, generate task plans, and work safely and effectively alongside human operators in industrial settings. Recent advances in large language models (LLMs) and agent-based AI systems offer unprecedented
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Energy Modelling”. The PhD candidate will be supervised by supervisors from DTU and Chalmers. This project will integrate energy technology, building physics, HVAC systems, control systems architecture
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on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
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scenarios. Your research will map multilevel governance structures and you will co‑create mitigation strategies through participatory workshops. You will model farmers’ adaptation behaviour using agent‑based
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will undertake doctoral research focused on activity-based travel behaviour, household energy use, and sustainability policy, contributing to the development of causal inference and agent-based modelling
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rapid, data-driven, physically informed and human-aligned decision framework capable of robust, equity-aware intervention planning under climate uncertainty. This PhD will develop a decision-support
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions